I am a postdoc at the the University of Chicago Data Science Institute, working with Mina Lee. My research interests lie at the intersection of Human-Computer Interaction, Social Computing, and AI. I design and evaluate AI-infused interactive systems that serve as cognitive scaffolds for humans in learning and knowledge work. I previously earned a PhD in Computer Science from UC Davis and dual BSc degrees in Mathematics and Computer Science from the University of Minnesota, Twin Cities.

News

[10/2025] ✨ Named as the DSI ZhengTong Postdoctoral Fellow for the 2025-2026 academic year in recognition of outstanding research.

[06/2025] Attended the CSST summer institute in Upstate New York.

[06/2025] Attended CSCW 2024 in Costa Rica and presented the EduLive paper.

[09/2024] Started my postdoc at UChicago.

[09/2024] Attended IVA 2024 in Glasgow and presented the LLM Wizards paper.

[03/2024] Attended CHI 2024 and co-organized the Sustaining Scalable Sustainability workshop

[10/2023] Attended CSCW 2023 and presented a poster How People Initiate and Respond to Discussions Around Online Community Norms: A Preliminary Analysis on Meta Stack Overflow Discussions. Back to Minnesota after 4 years!

[09/2023] Wrapped up my internship at Toyota Research Institute - so grateful for the experience.

Selected Publications

EduLive: Re-Creating Cues for Instructor-Learners Interaction in Educational Live Streams with Learners’ Transcript-Based Annotations Jingchao Fang, Jeongeon Park, Juho Kim, Hao-Chuan Wang. 2024. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW2), 1-33. [Paper]

On LLM Wizards: Identifying Large Language Models’ Behaviors for Wizard of Oz Experiments Jingchao Fang, Nikos Arechiga, Keiichi Namaoshi, Nayeli Bravo, Candice Hogan, David A Shamma. 2024. In ACM International Conference on Intelligent Virtual Agents (IVA ’24). [Paper]

Understanding Social Influence in Collective Product Ratings Using Behavioral and Cognitive Metrics. Fu-Yin Cherng, Jingchao Fang, Yinhao Jiang, Xin Chen, Taejun Choi, Hao-Chuan Wang. Proceedings of ACM Conference on Human Factors in Computing Systems (CHI 2022). [Paper]

Understanding the Effects of Structured Note-taking Systems for Video-based Learners in Individual and Social Learning Contexts. Jingchao Fang, Yanhao Wang, Chi-Lan Yang, Ching Liu, Hao-Chuan Wang. Proceedings of the ACM: Human-Computer Interaction (PACM HCI) (Oral presentation to appear at GROUP 2022) [Paper]

Contact

Email me at jcfang [at] uchicago [dot] edu.

CV

Updated 05/2022. [View PDF] Latest version available upon request.